With various success stories of crowdfunding, government's establishment of crowdfunding act, and expected rapid growth of crowdfunding market, the potential ripple effect of crowdfunding on our society is anticipated to be enormous. This study investigates the influential factors and their impacts on the likelihood of project success in donation-based crowdfunding through the DonorsChoose case. The authors analyze the characteristics of project creator, characteristics of project, and behaviors of project participants in relation to the success or failure of the corresponding project. Consequently, the authors found that participants of donation-based crowdfunding exhibit altruistic behaviors and obtained the following specific results: First, donation participation and social capital of the project creator, and marginal help utility of receivers positively affect the success of project. Second, experience of past project creation of the project creator negatively affects the success of project. Third, past donations of the project creator to others' projects, when not appropriately signaled like on the DonorsChoose platform, may not exert a positive influence on the success of project and the reciprocity principle may not work.

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

With the gradual development of IT technology, voice phishing victims are increasing in number. In the past when only voice phone calls were made, personal information or financial information were stolen mainly by a direct phone call, but recently, as smart phones are widely in use, it is evolving into a way such as smishing that leads an access to a site with malicious codes spreading out. Since it is easy to run away after committing a crime, and trace are rarely left in case of voice phishing, it is difficult to find out criminal. In addition, it is most likely that a victim be would be exposed to further damage from another voice phishing. Its technique is growing in kinds and turning more intelligent day by day; Therefore, its victims are increasing in number. Previous researches mainly focused the area of legal studies while the factors exposed to voice phishing have not been made. Therefore, this study has analyzed the motifs in which voice phishing is done to draw out its outcomes as follows. First, a victim comes to trust the criminal by the factors of favorability, rare message, and mutuality. Second, the more sophisticated the technique of a criminal, the more likely a victim is exposed to voice phishing.

In this study, we conducted a comparative analysis of R&D investment efficiency and operational efficiency of IT firms using Data Envelopment Analysis (DEA). We categorized thirteen sample firms into two groups-IT manufacturing and IT service-after an extensive literature review on IT industry classification. We adopted an output-oriented two-stage DEA model suggested by Banker et al. (1984) with total asset and R&D investment as input variables. Then, we constructed investment efficiency and operational efficiency by using Return on Equity (ROE) and Return on Asset (ROA) as intervening variables and operating income and Earnings Per Share (EPS) as output variables. The outcome of the analysis is summarized as follows. First of all, IT manufacturing firms were more efficient (57% on average) than IT service firms. To be specific, IT service firms showed decreasing returns to scale (DRS) with diseconomy of scale. In contrast, IT service firms showed higher operational efficiency (81.5% on average) than IT manufacturing firms. Also, we conducted a Mann-Whitney U test to compare the output of IT service firms and IT manufacturing firms. Lastly, we found a negative correlation ($R^2$ = -.754) between R&D investment efficiency and operational efficiency which infers the trade-off between two constructs

Currently, many universities offer a variety of programs for students to improve their knowledge and expertise for their career development. Because each program's success depends on students' active participation and passion, the university makes a lot of efforts to motivate them enhance the loyalty toward the school. Several universities in Korea operate their own loyalty program based on their students' activities. However, we need to develop a distinctive loyalty program to suit universities' education environment because the purpose of education is different from existing commercial purpose. This study shows the process that improves problems of loyalty programs that are operated by the K University and suggests new ideas based on design thinking methods. Also, this study includes a process that changes standardized and involuntary loyalty program to interesting loyalty program that induces students' voluntary participation through combining with gamification concept. The method that we suggest in this study is expected to extend various fields.

Numerous people share their TV experience with other viewers on social media such as personal blogs and Twitter. It means that broadcast media, especially TV, affects the responses on social media. Moreover, the responses affect broadcast media ratings back. Social TV tried to use the relationship in marketing activities such as advertisement by analyzing the TV related social behavior. However, most of them used just the quantities of social media responses. This study analyzes the subjects of the responses on social media about specific TV dramas through topic modeling, and the relationship between the changes of popular topics and viewer ratings of the drama over specified periods. Five representative Korean dramas of 2014 were selected and Blog contents including viewer ratings about the dramas were collected from naver.com which is the representative portal in South Korea. The proposed analysis framework consists of three steps which are Blogs crawling, topic modeling, and topic trend analysis. We found some implications from the results of the topic trend analysis. Firstly, there were specific topics on dramas in social media. Secondly, the topics had some meaningful relationships with viewer ratings. Lastly, there were differences between the topics of dramas with higher viewer ratings and those with lower viewer ratings.

Recently, Open Course Ware service area which offers free lecture materials has been steadily growing. This change comes from a paradigm shift of education service caused by the progress of ICT and a role change of consumers. Knowledge creation from higher educational institutions is slow compared to change of society. Therefore, consumers escape from one-sided education, and perform a new role of knowledge generation. Nevertheless, there is not much of academic research of Open Course Ware. Consequently, the paper is dedicated to empirical study on effect of perceived value, information system quality and brand trust on intention to continuous use. As implications for the research, as a practical point of view, the results-an economic side that offers contents for free of charge, a contents side that is fresh, various and substantial, a systematic side that makes customers to use the system easily, a service side which takes charge of customers support and brand trust affect satisfaction and intention to continuous use - can be used for establishment of executive strategies.

The purpose of this study is to find the continuance intention to use for reCAPTCHA technology which has information security and social contributions (decrypting archives) according to the user's pro-social level. In this research, reCAPTCHA technique generally gives users to information security and decrypting archives. However, as a result of preliminary survey, most users were not even aware of information security and social contributions (decrypting archives) functions. Therefore, in this research, we will measure with two kinds of focus. The first is the assumption that there will be also a difference in the continuance use depending pro-social level of the user of information technology, second we explain only the function of information security to the first group as well as decrypting archives to the second group. Generally, pro-social means that degree of understanding and supporting to the other people's interest, actions, needs, help, and care. In this research, we assume that if users have a low level of others care, they might evaluate that reCAPTCHA technology's social contributions is low. While they have a high level of others care, they recognize reCAPTCHA technology's social contribution is high and then they tend to use this technology continuously. Through this research, we finally find the most efficient way to increase the degree of continuance use of information technology.

By reclassifying and reinterpreting the factor variables that were used in precedent studies on company informatization by research theme and perspective on them success factor, the present study tried to examine how different the factor variables are in frequency of use and by period, and how importantly they were considered by research theme and perspective on its success factor, combining them with the studies done on mechanism point of view. The key findings of this study are as follows. First, it was found that the frequency of using mechanism variables, which are reclassified based on SER-M perspective, has gradually increased since 1990s. While the frequency of using resource factors sharply increased in 1990s, it decreased from 2000s. It indicates that more studies were conducted of mechanism factors other than resource factors from the early 2000s. Second, when looking at those variables reclassified by research them, it was found that such theme as decision maker, environment, and resource factors were more used than other research themes in the studies on the measuring factors of informatization. Mechanism factors turned out most used among overall research themes. In particular, they were more frequently used in studies related to the performance of informatization. This result evidences that mechanism-related variables are more importantly considered in the studies than other factors. This study produces a practical implication: what factors companies have to manage and secure intensively to attain successful informatization. In addition, this study helps companies seeking informatization understand and take advantage of SER-M factors on the basis of knowledge in the transitional process of the factor variables used in studies by period. It is expected that CIO can use the key findings of this study in monitoring the factors by the stage of informatization.

Task environment for enterprises and public institutions are moving into cyberspace-based environment and structing the LTE wireless network. The applications "App" operated in the LTE wireless network are mostly being developed with Android-based. But Android-based malwares are surging and they are the potential DDoS attacks. DDoS attack is a major information security threat and a means of cyber attacks. DDoS attacks are difficult to detect in advance and to defense effectively. To this end, a DMZ is set up in front of a network infrastructure and a particular server for defensive information security. Because There is the proliferation of mobile devices and apps, and the activation of android diversify DDoS attack methods. a DMZ is a limit to detect and to protect against DDoS attacks. This paper proposes an information security method to detect and Protect DDoS attacks from the terminal phase using a Preemptive military strategy concept. and then DDoS attack detection and protection app is implemented and proved its effectiveness by reducing web service request and memory usage. DDoS attack detection and protecting will ensure the efficiency of the mobile network resources. This method is necessary for a continuous usage of a wireless network environment for the national security and disaster control.

Smartphone use is rapidly spreading due to the advantage of being able to connect to the Internet anytime, anywhere--and mobile app development is developing accordingly. The characteristic of the mobile app market is the ability to launch one's app into foreign markets with ease as long as the platform is the same. However, a large amount of prior research asserts that consumers behave differently depending on their culture and, from this perspective, various studies comparing the differences between consumer behaviors in different countries exist. Accordingly, this research, which uses online product reviews (OPRs) in order to analyze the cultural differences in consumer behavior comparatively by nationality, proposes to compare the U.S. and South Korea by selecting ten apps which were released in both countries in order to perform a sentimental analysis on the basis of star ratings and, based on those ratings, to interpret the sentiments in reviews. This research was carried out to determine whether, on the basis of ratings analysis, analysis of review contents for sentiment differences, analysis of LDA topic modeling, and co-occurrence analysis, actual differences in online reviews in South Korea and the U.S. exist due to cultural differences. The results confirm that the sentiments of reviews for both countries appear to be more negative than those of star ratings. Furthermore, while no great differences in high-raking review topics between the U.S. and South Korea were revealed through topic modeling and co-occurrence analyses, numerous differences in sentiment appeared-confirming that Koreans evaluated the mobile apps' specialized functions, while Americans evaluated the mobile apps in their entirety. This research reveals that differences in sentiments regarding mobile app reviews due to cultural differences between Koreans and Americans can be seen through sentiment analysis and topic modeling, and, through co-occurrence analysis, that they were able to examine trends in review-writing for each country.

Recently, due to the rapid development of IT (information technologies), a variety of attempts have been made to incorporate IT into other fields such as finance and manufacturing. Among them, a novel concept in the spotlight is FinTech, which is a combined word of finance and technology. FinTech is a line of business demonstrating an innovation development through IT in the financial service industry. One of the most popular types of FinTech is a third-party mobile payment service (MPS), the examples of which can be easily found in South Korea while the actual use of the service is relatively inactive. Therefore, the main purpose of this paper is to empirically investigate influencing factors of intention to use the third-party MPS. Based on individual characteristics and the task-technology fit model, the research model of the study is developed, with switching cost included as a moderating variable. The results of structural equation model testing with 316 potential users of Kakao Pay, one of the most popular business models of the third-party MPS, show that innate innovativeness, task characteristics, and technology characteristics are positively influencing task-technology fit, which in turn significantly affects intention to use the third-party MPS. The negative moderating role of switching cost is also found. These results could help managers develop better strategies to motivate potential users to participate in their services.

This paper explores the distribution of the retail coffee franchise stores in Seoul using geostatistical analyses. The fact that lots of coffee stores are concentrated in the central area-Jongno and Jung-gu and commercial area-Gangnam and Seocho shows that the size of the floating population and potential customers is one of main drivers for making decisions on the locations of new stores. Except these 4 districts, the number of stores and population exhibit a positive correlation. By extracting the information on the 6 large coffee franchises store locations, we calculate the both haversine distances between stores of the same franchise and between stores of different franchises. We then empirically test the sitting and marketing strategies of Starbucks, Ediya, and Paik-Dabang using distance distributions. Significant pairs of Starbucks stores located within 100m confirm the sitting strategy of Starbucks which opens additional stores at crossways, stations, near shopping malls or other business zones though there already exist Starbucks stores. Meanwhile considerable portion of Ediya stores are found near Starbucks stores, which coincides with the sitting strategy of Ediya. We also find that Paik-Dabang that uses the low cost strategy has its stores open relatively farther than other franchises from Starbucks stores.

As social problems including aging, depopulation, healthcare, poverty, a lot of government, organizations is trying to solve the problems. Recently, social innovation is emerging as strategy for solving social problems around the world. Social innovation means more effective, sustainable and new solutions that increase total values of society. This study attempts to introduce microworks of the Samasource as a case of the business-community innovation model using IT. Samasource is one of three social ventures under the nonprofit organization Sama Group established in 2008. Its mission is to alleviate worldwide poverty by connecting unemployed people in impoverished countries to digital work. Based on the internet model "microwork", they split huge digital projects into small scales, and deliver them to BOP(Bottom Of Pyramid) groups through the internet. This case describes a business model, revenue model, and impact of Samasource's Microwork. Implications of the case were suggested in the conclusion. To this end, I would like to provide a meaningful implication to researchers and founders of the South Korea.